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市场调查报告书
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1689967

人工智慧管治-市场占有率分析、产业趋势与统计、成长预测（2025-2030 年）

AI Governance - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 125 Pages | 商品交期: 2-3个工作天内

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简介目录

人工智慧管治市场规模在2025年估计为3.4亿美元，预计到2030年将达到12.1亿美元，预测期内（2025-2030年）的复合年增长率为28.8%。

人工智慧治理-市场-IMG1

关键亮点

  • 消费者对隐私、滥用和偏见的担忧日益加剧，推动了对人工智慧 (AI)管治的需求。确保以合乎道德和透明的方式提供人工智慧是人工智慧管治的关键目标，旨在建立课责、监督和责任。
  • 企业越来越多地在业务中利用人工智慧，透过自动化来提高效率并降低成本。
  • 此外，消费者对隐私、滥用和偏见的日益担忧正在推动对道德和透明的人工智慧的追求，凸显了课责和监控的必要性。
  • 人工智慧和机器学习是再形成世界的关键技术。在当今艰难的经济状况，世界各国政府都在努力应对紧张的预算和有限的公共资金，人工智慧优化资源和解决复杂问题的能力至关重要。
  • 人工智慧开发人员、工程师、研发专业人员和资料科学家是这一背景下最受追捧的人才。公司必须找出技能差距并确定需要加强的优先领域。
  • 疫情引发的数位化加速，导致AI服务需求激增，刺激了AI管治市场。 Salesforce 表示，自疫情爆发以来，对人工智慧和熟练的人工智慧专业人员的需求有所增加。

人工智慧管治市场趋势

零售业可望强劲成长

  • 随着消费者（尤其是数位原民）改变其通路偏好和购买行为，全球零售业正经历重大变革时期。这种数位化转变导致人们对资料的关注度增加，这对于数位转型至关重要。
  • 有效的人工智慧管理对于希望提高绩效、解决常见障碍并超越传统零售竞争对手和敏捷的直接面向消费者品牌的零售商来说至关重要。简化资料存取的管治对于快速决策至关重要。
  • 零售公司正在拥抱尖端技术，包括人工智慧（AI）和机器学习。然而，这些技术的整合必须与强大的道德框架结合。制定行为准则不仅可以促进良好的资料管理实践，还指南更广泛的公司行为。
  • 一些零售商在其人工智慧之旅的三个关键环节中表现出色：快速转型和更换现有系统、遵守资料安全法规以及在策略重点和可用资源之间找到微妙的平衡。这些成功凸显了人工智慧已准备好被更广泛地应用。
  • 零售商也加大人力投入，在全球推出端到端的人工智慧解决方案。这项策略倡议不仅将提高业务效率，也将带来巨大的市场机会。例如，一家大型零售商最近启动了一项大型培训计划，以提高其 40,000 名员工的技能，以应对人工智慧革命。

北美占最大市场占有率

  • 北美作为最早采用人工智慧技术的国家之一，预计将对该市场产生重大影响。例如，美国国家人工智慧研究与发展计画建议制定一个进行人工智慧研究和开发的框架，将伦理考量纳入研究和开发中，同时不影响公众参与和组织更好的行销。
  • 为了保持市场竞争力，北美组织，尤其是总部位于美国的组织，正在利用人工智慧、机器学习和深度学习技术的所有优势。该国成熟的经济使得人工智慧和管治供应商能够轻鬆投资新技术。此外，它被认为是一个创新中心，一些最重要的 IT 公司推出了智慧设备，并与人工智慧管治领域的其他公司合作。
  • 美国对人工智慧进行监管的可能性最近受到了广泛关注，这不仅是因为它对脸部辨识等技术的影响，还因为人们担心该技术会大规模应用。美国的人工智慧策略已成为学者、政策制定者和产业界关注的重要议题。
  • 许多加拿大组织已经在使用机器学习技术来自动化关键业务、产生关键见解、升级客户互动并为策略决策提供资讯。

人工智慧管治产业概览

预计预测期内市场竞争对手之间的竞争仍将保持在高水准。主要参与企业包括 IBM 公司、Google LLC（Alphabet Inc.）、SAP SE、Microsoft Corporation 和 FICO Inc. 市场参与企业正在采用联盟和收购等策略来加强其产品供应并获得可持续的竞争优势。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3个月的分析师支持

目录

第一章 引言

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概览
  • 产业吸引力-波特五力分析
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • 产业价值链分析
  • COVID-19 工业影响评估

第五章市场动态

  • 市场驱动因素
    • 对人工智慧决策透明度的需求日益增加
    • 扩大政府措施以利用人工智慧技术
  • 市场限制
    • 人工智慧专业知识和技能不足可能成为限制因素

第六章市场区隔

  • 按组件
    • 解决方案
    • 按服务
  • 按部署
    • 本地
    • 云
  • 按行业
    • 医疗保健
    • 政府和国防
    • 车
    • 零售
    • BFSI
    • 其他最终用户产业
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
    • 亚洲
      • 中国
      • 印度
      • 日本
    • 澳洲和纽西兰
    • 拉丁美洲
    • 中东和非洲

第七章竞争格局

  • 公司简介
    • IBM Corporation
    • Google LLC（Alphabet Inc.）
    • SAP SE
    • Microsoft Corporation
    • FICO Inc.
    • Salesforce.com Inc.
    • Pymetrics Inc.
    • SAS Institute Inc.
    • H2O.ai Inc.
    • Integrate.ai Inc.
    • Facebook Inc.（Meta Platforms Inc.）

第八章投资分析

第九章：市场的未来

简介目录
Product Code: 69583

The AI Governance Market size is estimated at USD 0.34 billion in 2025, and is expected to reach USD 1.21 billion by 2030, at a CAGR of 28.8% during the forecast period (2025-2030).

AI Governance - Market - IMG1

Key Highlights

  • Increasing consumer concerns over privacy, abuse, and bias are propelling the demand for artificial intelligence (AI) governance. Ensuring the delivery of ethical and transparent AI stands as a primary objective of AI governance, aiming to establish accountability, oversight, and responsibility.
  • Businesses are increasingly leveraging AI in their operations to boost efficiency and cut costs through automation.
  • Furthermore, the heightened consumer focus on privacy, misuse, and bias drives the push for ethical and transparent AI, emphasizing the need for accountability and oversight.
  • Artificial intelligence and machine learning stand out as pivotal technologies reshaping the world. In today's challenging economic landscape, where governments globally grapple with tight budgets and limited public funding, AI's ability to optimize resources and tackle complex issues is paramount.
  • AI developers, engineers, researchers, and data scientists are the most sought-after talents in this landscape. Enterprises must pinpoint skill gaps and prioritize areas for enhancement.
  • The accelerated digitization due to the pandemic has spiked the demand for AI services, fueling the AI governance market. According to Salesforce, the need for AI and skilled AI professionals increased post-pandemic.

AI Governance Market Trends

The Retail Sector is Expected to Witness Significant Growth

  • The global retail sector is undergoing a significant transformation as customers, especially digital natives, alter their channel preferences and purchasing behaviors. With this digital shift, the focus on data, crucial for digital transformation, has intensified.
  • Effective AI management is now a cornerstone for retailers looking to enhance their performance, tackle common hurdles, and outpace both traditional retail rivals and agile direct-to-consumer brands. Governance, streamlining data access, is pivotal for swift decision-making.
  • Retailers are embracing cutting-edge technologies, notably artificial intelligence (AI) and machine learning. However, as they integrate these technologies, they must do so alongside robust ethics frameworks. Crafting a code of conduct not only fosters good data management practices but also guides the broader spectrum of company activities.
  • Some retailers have excelled in three critical areas on their AI journey: swiftly transforming and replacing existing systems, adhering to data security regulations, and finding the delicate balance between strategic priorities and available resources. These successes underscore their readiness for increased AI adoption.
  • Retailers are also gearing up their workforce for the global deployment of end-to-end AI solutions. This strategic move not only enhances their operational efficiency but also opens up significant market opportunities. For instance, a major retailer recently launched an extensive training program to upskill its 40,000 employees for the AI revolution.

North America Holds Largest Market Share

  • North America, one of the first countries to adopt artificial intelligence technologies, is expected to have an enormous impact on this market. For example, in order to help organizations across the country incorporate ethical considerations into research and development without compromising public involvement and better marketing of an organization, the US National Artificial Intelligence Research and Development Plan recommended the development of a framework for the implementation of AI research and development.
  • In order to remain competitive in the market, North American organizations, especially those based in the United States, make use of all the benefits of AI, ML, and Deep Learning technology. The country's economy is well established, making it easier for AI and governance vendors to make investments in new technologies. Moreover, the fact that some of the most important IT firms are introducing intelligent devices and working together with others in the area of AI governance is considered to be a hub for innovation.
  • The potential of AI regulation in the United States has been given considerable attention recently due to concerns regarding large tech, as well as impacts on technologies such as facial recognition. The US strategy for artificial intelligence has been an important topic for academics, policymakers, and industry.
  • Many Canadian organizations are already using machine-learning tech to automate key operations, generate critical insights, upgrade customer interactions, and inform strategic decisions.

AI Governance Industry Overview

The intensity of competitive rivalry in the market is expected to remain high during the forecast period. Major players include IBM Corporation, Google LLC (Alphabet Inc.), SAP SE, Microsoft Corporation, and FICO Inc. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Demand for Transparency in AI Decision Making
    • 5.1.2 Expanding Government Initiatives to Leverage the AI Technology
  • 5.2 Market Restraints
    • 5.2.1 Inadequate AI Expertise and Skills can Act as a Restraint

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Solution
    • 6.1.2 Service
  • 6.2 By Deployment
    • 6.2.1 On-Premise
    • 6.2.2 Cloud
  • 6.3 By End-user Vertical
    • 6.3.1 Healthcare
    • 6.3.2 Government and Defense
    • 6.3.3 Automotive
    • 6.3.4 Retail
    • 6.3.5 BFSI
    • 6.3.6 Other End-user Verticals
  • 6.4 By Geography
    • 6.4.1 North America
      • 6.4.1.1 United States
      • 6.4.1.2 Canada
    • 6.4.2 Europe
      • 6.4.2.1 United Kingdom
      • 6.4.2.2 Germany
      • 6.4.2.3 France
    • 6.4.3 Asia
      • 6.4.3.1 China
      • 6.4.3.2 India
      • 6.4.3.3 Japan
    • 6.4.4 Australia and New Zealand
    • 6.4.5 Latin America
    • 6.4.6 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 Google LLC (Alphabet Inc.)
    • 7.1.3 SAP SE
    • 7.1.4 Microsoft Corporation
    • 7.1.5 FICO Inc.
    • 7.1.6 Salesforce.com Inc.
    • 7.1.7 Pymetrics Inc.
    • 7.1.8 SAS Institute Inc.
    • 7.1.9 H2O.ai Inc.
    • 7.1.10 Integrate.ai Inc.
    • 7.1.11 Facebook Inc. (Meta Platforms Inc.)

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET